api-development
Design and implement REST APIs using FastAPI. Use when creating endpoints, request/response schemas, middleware, error handling, or API documentation.
Skills correspondant au nom, à la description ou à l’auteur GitHub.
Design and implement REST APIs using FastAPI. Use when creating endpoints, request/response schemas, middleware, error handling, or API documentation.
Expert skill for testing and debugging the FastAPI backend. Use when working with API endpoints, database operations, authentication, or middleware troubleshooting.
FastAPI best practices, async patterns, and Pydantic validation
Generate Python FastAPI code following project design patterns. Use when creating models, schemas, repositories, services, controllers, database migrations, authentication, or tests. Enforces layered architectu...
This skill provides functionality to properly expose a ChatKit server via FastAPI routes. It handles the integration between FastAPI request/response cycle and the ChatKit server, with proper request processing...
This skill provides guidance for implementing secure authentication using Better Auth for Next.js frontend and JWT verification for FastAPI backend.
Advise on technology choices for new full-stack projects using the user's preferred stack (FastAPI + React + PostgreSQL). Use when starting a new project, discussing architecture decisions, choosing frameworks,...
Implement features end-to-end in Laravel 12 + Inertia.js + React 19 + TypeScript OR Python + FastAPI + LangChain. Use when building new features, wiring controllers to pages, or implementing CRUD operations. EX...
Expert Python engineering for code review, quality improvement, and debugging. Use when reviewing Python code for best practices, refactoring for cleaner code, debugging errors, improving type safety with type...
Use when building FastAPI applications with SQLModel for database models, CRUD operations, and full-stack data management. Also use for implementing relationships, migrations, async queries, and type-safe datab...
Build and deploy enterprise-grade microservices architectures with production-ready patterns, comprehensive observability, advanced security, and operational excellence. Use when: (1) designing multi-service ar...
Use when creating FastAPI web applications, REST APIs, microservices, or backend services in Python. Also use for implementing FastAPI features like authentication, validation, async endpoints, dependency injec...
Skriptoteket frontend development (FastAPI backend + full Vue/Vite SPA) using the HuleEdu-aligned stack (Vue 3.5.x + Vite + TypeScript, Pinia, Vue Router, Tailwind CSS v4 tokens/@theme, HuleEdu design tokens, p...
Local development + build/devops workflow for Skriptoteket (FastAPI + Vue/Vite) using PDM. Use when setting up or troubleshooting local dev (`pdm install`, `.env`, `pdm run dev`, frontend proxy/logs, correlatio...
Master FastAPI dependency injection for building modular, testable APIs. Use when creating reusable dependencies and services.
Use when FastAPI async patterns for building high-performance APIs. Use when handling concurrent requests and async operations.
Use when FastAPI validation with Pydantic models. Use when building type-safe APIs with robust request/response validation.
FastAPI + Pydantic v2 backend workflow: implement/modify API endpoints with thin handlers + service layer, add pytest tests, manage idempotent Alembic migrations, and implement streaming ETL/parsers with invali...
Expert in securing FastAPI applications with JWT tokens and Better Auth. Use this when implementing authentication middleware, route protection, and user isolation.
Expert guidance for building REST APIs with FastAPI framework in Python. Use when (1) creating new FastAPI projects from scratch, (2) implementing API endpoints with routing, (3) working with Pydantic models fo...
Expert guidance for Python testing with pytest framework. Use when (1) writing unit tests or integration tests, (2) setting up test fixtures for setup/teardown, (3) parametrizing tests with multiple inputs, (4)...
Expert guidance for SQLModel - the Python library combining SQLAlchemy and Pydantic for database models. Use when (1) creating database models that work as both SQLAlchemy ORM and Pydantic schemas, (2) building...
Use when implementing shared connection pool for multiple services in same application - provides complete setup steps for FastAPI/multi-service apps without needing examples
FastAPI endpoint development with Pydantic validation, proper error handling, and OpenAPI documentation. Use when creating or modifying API endpoints, routers, or schemas.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.